Pujitha Gunaratne

According to our database, Pujitha Gunaratne authored at least 24 papers between 1998 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

MobiScout: A scalable cloud-based driving and activity monitoring platform featuring an IOS app and a WatchOS extension.

Kojo Konadu Adu-Gyamfi, Karo Ahmadi-Dehrashid, Yaw Okyere Adu-Gyamfi, Pujitha Gunaratne, Anuj Sharma

SoftwareX, December, 2023

A Portable Multi-Modal Cushion for Continuous Monitoring of a Driver's Vital Signs.

Onno Linschmann, Durmus Umutcan Uguz, Bianca Romanski, Immo Baarlink, Pujitha Gunaratne, Steffen Leonhardt, Marian Walter, Markus J. Lüken

Sensors, 2023

Safe Control Transitions: Machine Vision Based Observable Readiness Index and Data-Driven Takeover Time Prediction.

Ross Greer, Nachiket Deo, Akshay Rangesh, Pujitha Gunaratne, Mohan M. Trivedi

CoRR, 2023

Investigating Speed Deviation Patterns During Glucose Episodes: A Quantile Regression Approach.

Aparna Joshi, Jennifer Merickel, Cyrus V. Desouza, Matthew Rizzo, Pujitha Gunaratne, Anuj Sharma

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

2021

Predicting atrial fibrillation episodes with rapid ventricular rates associated with low levels of activity.

Zhi Li, Kevin M. Wheelock, Sangeeta Lathkar-Pradhan, Hakan Oral, Daniel J. Clauw, Pujitha Gunaratne, Jonathan Gryak, Kayvan Najarian, Brahmajee K. Nallamothu, Hamid Ghanbari

BMC Medical Informatics Decis. Mak., 2021

Designing for the Extremes: Modeling Drivers' Response Time to Take Back Control From Automation Using Bayesian Quantile Regression.

Azadeh DinparastDjadid, John D. Lee, Joshua E. Domeyer, Chris Schwarz, Timothy L. Brown, Pujitha Gunaratne

Hum. Factors, 2021

Predicting Take-over Time for Autonomous Driving with Real-World Data: Robust Data Augmentation, Models, and Evaluation.

Akshay Rangesh, Nachiket Deo, Ross Greer, Pujitha Gunaratne, Mohan M. Trivedi

CoRR, 2021

Prediction of cardiac arrhythmia using deterministic probabilistic finite-state automata.

Zhi Li, Harm Derksen, Jonathan Gryak, Cheng Jiang, Zijun Gao, Winston Zhang, Hamid Ghanbari, Pujitha Gunaratne, Kayvan Najarian

Biomed. Signal Process. Control., 2021

Autonomous Vehicles that Alert Humans to Take-Over Controls: Modeling with Real-World Data.

Akshay Rangesh, Nachiket Deo, Ross Greer, Pujitha Gunaratne, Mohan M. Trivedi

Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

2019

Markov Models for Detection of Ventricular Arrhythmia.

Zhi Li, Harm Derksen, Jonathan Gryak, Mohsen Hooshmand, Alexander Wood, Hamid Ghanbari, Pujitha Gunaratne, Kayvan Najarian

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

2018

ITSS Technical Activities Spotlight: Getting to Know the Naturalistic Driving Data Analytics Technical Committee [Technical Activities].

Pujitha Gunaratne, Kazuya Takeda

IEEE Intell. Transp. Syst. Mag., 2018

Exploring the Situational Awareness of Humans inside Autonomous Vehicles.

Akshay Rangesh, Nachiket Deo, Kevan Yuen, Kirill Pirozhenko, Pujitha Gunaratne, Heishiro Toyoda, Mohan M. Trivedi

Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018

A Novel Atrial Fibrillation Prediction Algorithm Applicable to Recordings from Portable Devices.

Zhi Li, Harm Derksen, Jonathan Gryak, Hamid Ghanbari, Pujitha Gunaratne, Kayvan Najarian

Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

Supraventricular Tachycardia Detection via Machine Learning Algorithms.

Zhi Li, Harm Derksen, Jonathan Gryak, Mohsen Hooshmand, Alexander Wood, Hamid Ghanbari, Pujitha Gunaratne, Kayvan Najarian

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

2017

A Multimodal, Full-Surround Vehicular Testbed for Naturalistic Studies and Benchmarking: Design, Calibration and Deployment.

Akshay Rangesh, Kevan Yuen, Ravi Kumar Satzoda, Rakesh Nattoji Rajaram, Pujitha Gunaratne, Mohan M. Trivedi

CoRR, 2017

2015

Drive quality analysis of lane change maneuvers for naturalistic driving studies.

Ravi Kumar Satzoda, Pujitha Gunaratne, Mohan M. Trivedi

Proceedings of the 2015 IEEE Intelligent Vehicles Symposium, 2015

2014

Drive analysis using lane semantics for data reduction in naturalistic driving studies.

Ravi Kumar Satzoda, Pujitha Gunaratne, Mohan M. Trivedi

Proceedings of the 2014 IEEE Intelligent Vehicles Symposium Proceedings, 2014

2013

Towards automated drive analysis: A multimodal synergistic approach.

Ravi Kumar Satzoda, Sujitha Martin, Minh Van Ly, Pujitha Gunaratne, Mohan M. Trivedi

Proceedings of the 16th International IEEE Conference on Intelligent Transportation Systems, 2013

2011

A closed-loop crash warning system based on heterogeneous cues.

Pujitha Gunaratne, Matteo Mannino

Proceedings of the 5th International Conference on Automation, Robotics and Applications, 2011

2003

Estimation of Asymmetry in Facial Actions for the Analysis of Motion Dysfunction Due to Paralysis.

Pujitha Gunaratne, Yukio Sato

Int. J. Image Graph., 2003

Objective Evaluation of Facial Paralysis by Asymmetry in Expressions.

Pujitha Gunaratne, Yukio Sato

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2003

Estimation of asymmetry parameters for mesh based facial models.

Pujitha Gunaratne, Yukio Sato

Proceedings of the IEEE International Symposium on Computational Intelligence in Robotics and Automation: Computational Intelligence in Robotics and Automation for the New Millennium, 2003

2000

3-D Face Modeling with Multiple Range Images.

Pujitha Gunaratne, Hisanari Shogo, Yukio Sato

Proceedings of the 15th International Conference on Pattern Recognition, 2000

1998

An Extended Geometric Approach in Active Vision to Detect and Eliminate Specularity in Shiny Colored Objects.

Pujitha Gunaratne, Yukio Sato

Proceedings of IAPR Workshop on Machine Vision Applications, 1998